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   "source": [
    "# Welcome to the interactive Galaxy IPython Notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can access your data via the dataset number. Using a Python kernel, you can access dataset number 42 with ``handle = open(get(42), 'r')``.\n",
    "To save data, write your data to a file, and then call ``put('filename.txt')``. The dataset will then be available in your galaxy history.\n<br>",
    "When using a non-Python kernel, ``get`` and ``put`` are available as command-line tools, which can be accessed using system calls in R, Julia, and Ruby. For example, to read dataset number 42 into R, you can write ```handle <- file(system('get -i 42', intern = TRUE))```.\n",
    "To save data in R, write the data to a file and then call ``system('put -p filename.txt')``.\n",
    "Notebooks can be saved to Galaxy by clicking the large green button at the top right of the IPython interface.<br>\n",
    "More help and informations can be found on the project [website](https://github.com/bgruening/docker-jupyter-notebook)."
   ]
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